Skip to main content
SpringerLink
Log in

Data Mapping as Search

  • Conference paper
Advances in Database Technology - EDBT 2006 (EDBT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3896))

Included in the following conference series:

Abstract

In this paper, we describe and situate the tupelo system for data mapping in relational databases. Automating the discovery of mappings between structured data sources is a long standing and important problem in data management. Starting from user provided example instances of the source and target schemas, tupeloapproaches mapping discovery as search within the transformation space of these instances based on a set of mapping operators. tupelomapping expressions incorporate not only data-metadata transformations, but also simple and complex semantic transformations, resulting in significantly wider applicability than previous systems. Extensive empirical validation of tupelo, both on synthetic and real world datasets, indicates that the approach is both viable and effective.

The current paper is a continuation of work first explored in poster/demo presentations (IHIS05 and SIGMOD05) and a short workshop paper [11].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bernstein, P.A., et al.: Interactive Schema Translation with Instance-Level Mappings (System Demo). In: Proc. VLDB Conf., Trondheim, Norway, pp. 1283–1286 (2005)

    Google Scholar 

  2. Bilke, A., Naumann, F.: Schema Matching using Duplicates. In: Proc. IEEE ICDE, Tokyo, Japan, pp. 69–80 (2005)

    Google Scholar 

  3. Bossung, S., et al.: Automated Data Mapping Specification via Schema Heuristics and User Interaction. In: Proc. IEEE/ACM ASE, Linz, Austria, pp. 208–217 (2004)

    Google Scholar 

  4. Carreira, P., Galhardas, H.: Execution of Data Mappers. In: Proc. ACM SIGMOD Workshop IQIS, Paris, France, pp. 2–9 (2004)

    Google Scholar 

  5. Chang, K.C.-C., He, B., Li, C., Patel, M., Zhang, Z.: Structured Databases on the Web: Observations and Implications. SIGMOD Record 33(3), 61–70 (2004)

    Article  Google Scholar 

  6. Dhamankar, R., et al.: iMAP: Discovering Complex Semantic Matches between Database Schemas. In: Proc. ACM SIGMOD, Paris, France, pp. 383–394 (2004)

    Google Scholar 

  7. Doan, A., Domingos, P., Halevy, A.: Learning to Match the Schemas of Databases: A Multistrategy Approach. Machine Learning 50(3), 279–301 (2003)

    Article  MATH  Google Scholar 

  8. Doan, A., Noy, N., Halevy, A.: Special Section on Semantic Integration. SIGMOD Record 33(4) (2004)

    Google Scholar 

  9. Embley, D.W., Xu, L., Ding, Y.: Automatic Direct and Indirect Schema Mapping: Experiences and Lessons Learned, vol. 8, pp. 14–19

    Google Scholar 

  10. Euzenat, J., et al.: State of the Art on Ontology Alignment. In: Tech. Report D2.2.3, IST Knowledge Web NoE (2004)

    Google Scholar 

  11. Fletcher, G.H.L., Wyss, C.M.: Mapping Between Data Sources on the Web. In: Proc. IEEE ICDE Workshop WIRI, Tokyo, Japan (2005)

    Google Scholar 

  12. Fletcher, G.H.L., et al.: A Calculus for Data Mapping. In: Proc. COORDINATION Workshop InterDB, Namur, Belgium (2005)

    Google Scholar 

  13. Gottlob, G., et al.: The Lixto Data Extraction Project – Back and Forth between Theory and Practice. In: Proc. ACM PODS, Paris, France, pp. 1–12 (2004)

    Google Scholar 

  14. He, B., et al.: Discovering Complex Matchings Across Web Query Interfaces: A Correlation Mining Approach. In: Proc. ACM KDD (2004)

    Google Scholar 

  15. Ives, Z.G., Halevy, A.Y., Mork, P., Tatarinov, I.: Piazza: Mediation and Integration Infrastructure for Semantic Web Data. J. Web Sem 1(2), 155–175 (2004)

    Google Scholar 

  16. Kang, J., Naughton, J.F.: On Schema Matching with Opaque Column Names and Data Values. In: Proc. ACM SIGMOD, San Diego, CA, pp. 205–216 (2003)

    Google Scholar 

  17. Kolaitis, P.G.: Schema Mappings, Data Exchange, and Metadata Management. In: Proc. ACM PODS, Baltimore, MD, USA, pp. 61–75 (2005)

    Google Scholar 

  18. Krishnamurthy, R., et al.: Language Features for Interoperability of Databases with Schematic Discrepancies. In: Proc. ACM SIGMOD, Denver, CO, USA, pp. 40–49 (1991)

    Google Scholar 

  19. Lenzerini, M.: Data Integration: A Theoretical Perspective. In: Proc. ACM PODS, Madison, WI, pp. 233–246 (2002)

    Google Scholar 

  20. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Doklady Akademii Nauk SSSR 163(4), 845–848 (1965)

    MathSciNet  Google Scholar 

  21. Levy, A.Y., Ordille, J.J.: An Experiment in Integrating Internet Information Sources. In: Proc. AAAI Fall Symp. AI Apps. Knowl. Nav. Ret., Cambridge, MA, USA, pp. 92–96 (1995)

    Google Scholar 

  22. Li, W.-S., Clifton, C.: SEMINT: A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural Networks. Data Knowl. Eng 33(1), 49–84 (2000)

    Article  MATH  Google Scholar 

  23. Litwin, W., Ketabchi, M.A., Krishnamurthy, R.: First Order Normal Form for Relational Databases and Multidatabases. SIGMOD Record 20(4), 74–76 (1991)

    Article  Google Scholar 

  24. Melnik, S.: Generic Model Management. LNCS, vol. 2967. Springer, Heidelberg (2004)

    Book  MATH  Google Scholar 

  25. Melnik, S., et al.: Supporting Executable Mappings in Model Management. In: Proc. ACM SIGMOD, Baltimore, MD, USA (2005)

    Google Scholar 

  26. Miller, R.J., Haas, L.M., Hernández, M.A.: Schema Mapping as Query Discovery. In: Proc. VLDB Conf., Cairo, Egypt, pp. 77–88 (2000)

    Google Scholar 

  27. Morishima, A., et al.: A Machine Learning Approach to Rapid Development of XML Mapping Queries. In: Proc. IEEE ICDE, Boston, MA, USA, pp. 276–287 (2004)

    Google Scholar 

  28. Nilsson, N.J.: Artificial Intelligence: A New Synthesis. Morgan Kaufmann, San Francisco (1998)

    MATH  Google Scholar 

  29. Noy, N.F., Doan, A., Halevy, A.Y.: Special Issue on Semantic Integration. AI Magazine 26(1) (2005)

    Google Scholar 

  30. Perkowitz, M., Etzioni, O.: Category Translation: Learning to Understand Information on the Internet. In: Proc. IJCAI, Montréal, Canada, pp. 930–938 (1995)

    Google Scholar 

  31. Rahm, E., Bernstein, P.A.: A Survey of Approaches to Automatic Schema Matching. VLDB J. 10(4), 334–350 (2001)

    Article  MATH  Google Scholar 

  32. Raman, V., Hellerstein, J.M.: Potter’sWheel: An Interactive Data Cleaning System. In: Proc. VLDB Conf., Roma, Italy, pp. 381–390 (2001)

    Google Scholar 

  33. Schmid, U., Waltermann, J.: Automatic Synthesis of XSL-Transformations from Example Documents. In: Proc. IASTED AIA, Innsbruck, Austria (2004)

    Google Scholar 

  34. Shvaiko, P., Euzenat, J.: A Survey of Schema-Based Matching Approaches. In: J. Data Semantics IV (2005)(to appear)

    Google Scholar 

  35. Smiljanić, M., van Keulen, M., Jonker, W.: Formalizing the XML schema matching problem as a constraint optimization problem. In: Andersen, K.V., Debenham, J., Wagner, R. (eds.) DEXA 2005. LNCS, vol. 3588, pp. 333–342. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  36. Stephens, D.R.: Information Retrieval and Computational Geometry. Dr. Dobb’s Journal 29(12), 42–45 (2004)

    Google Scholar 

  37. Wang, G., Goguen, J.A., Nam, Y.-K., Lin, K.: Critical points for interactive schema matching. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 654–664. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  38. Winkler, W.E.: The State of Record Linkage and Current Research Problems. U.S. Bureau of the Census, Statistical Research Division, Technical Report RR99/04 (1999)

    Google Scholar 

  39. Wyss, C.M., Robertson, E.L.: Relational Languages for Metadata Integration. ACM TODS 30(2), 624–660 (2005)

    Article  Google Scholar 

  40. Wyss, C.M., Edward, L.: A Formal Characterization of PIVOT / UNPIVOT. In: Proc. ACM CIKM, Bremen, Germany (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, School of Informatics, Indiana University, Bloomington, USA

    George H. L. Fletcher & Catharine M. Wyss

Authors
  1. George H. L. Fletcher
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Catharine M. Wyss
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Athens, Greece

    Yannis Ioannidis

  2. University of Konstanz, P.O.Box D188, 78457, Konstanz, Germany

    Marc H. Scholl

  3. Sustainable Content Logistics Centre, Hamburg, Germany

    Joachim W. Schmidt

  4. Chair of Software Engineering for Business Information Systems, Technische Universität München, Boltzmannstraße 3, 85748, Garching b. München,  

    Florian Matthes

  5. Department of Informatics, University of Athens Panepistimiopolis, 15771, Athens, Greece

    Mike Hatzopoulos

  6. IPD, Universität Karlsruhe, Am Fasanengarten 5, 76131, Karlsruhe,  

    Klemens Boehm

  7. TU München, D-85748, Garching, Germany

    Alfons Kemper

  8. Technische Universität München, Germany

    Torsten Grust

  9. Institute for Computer Science, Ludwig-Maximilians Universität München,  

    Christian Boehm

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fletcher, G.H.L., Wyss, C.M. (2006). Data Mapping as Search. In: Ioannidis, Y., et al. Advances in Database Technology - EDBT 2006. EDBT 2006. Lecture Notes in Computer Science, vol 3896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11687238_9

Download citation

  • DOI: https://doi.org/10.1007/11687238_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32960-2

  • Online ISBN: 978-3-540-32961-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation